What Is MLOps, and Why Is It So Important for Every ML Team?
Machine learning operations (MLOps) is a pivotal practice for modern ML teams, encompassing the blend of technological and operational best practices. At its heart, MLOps seeks to address the challenges of productionizing ML models and fostering better collaboration between data scientists and IT teams. With the rapid advancements in technology and increasing reliance on ML solutions, MLOps is becoming the backbone of a sustainable and scalable ML strategy. This chapter will delve deep into the essence of MLOps, detailing its significance, its various maturity levels, and the role of Google’s Vertex AI in facilitating MLOps. By the end of this chapter, you will be equipped with a robust understanding of MLOps principles and what tools in Vertex AI can be used to implement those principles.
In this chapter, we will cover the following topics:
- Why is MLOps important?
- MLOps maturity levels
- How can Vertex...
